Results 171 to 180 of about 245,006 (326)

Low-Velocity Impact Response of Novel TPMS and Stochastic Lattice Cores of Sandwich Structures. [PDF]

open access: yesMaterials (Basel)
Vasile A   +4 more
europepmc   +1 more source

Modelling Stochastic Foam Geometries for FE Simulations Using 3D Voronoi Cells

open access: gold, 2014
Petros Siegkas   +2 more
openalex   +1 more source

Climate Change Mitigation in the Dairy Sector: Uncovering Heterogeneity Through Eco‐Efficiency Clubs

open access: yesAgribusiness, EarlyView.
ABSTRACT Combining climate change goals with economic targets is crucial for the dairy sector, which is a significant contributor to agricultural greenhouse gas (GHG) emissions worldwide. In this paper, we assess economic and climate change implications of dairy production with panel data of Irish dairy farms from 2013 to 2021.
Doris Läpple   +2 more
wiley   +1 more source

Spatially distributed and interconnected porous architectures for dental implants. [PDF]

open access: yesInt J Implant Dent
Dabaja R   +5 more
europepmc   +1 more source

Assessing Agricultural Green Total Factor Productivity in Latin America

open access: yesAgribusiness, EarlyView.
ABSTRACT The agricultural sector in Latin America plays a vital role in ensuring food security while impacting the environment. However, there remains a lack of analysis regarding the inputs responsible for pollution within its sub‐technologies. Hence, this article aims to assess agricultural green total factor productivity (TFP) through a novel ...
Tianxiang Li   +2 more
wiley   +1 more source

Testing the independent species' arrangement assertion made by theories of stochastic geometry of biodiversity. [PDF]

open access: yesProc Biol Sci, 2012
Wiegand T   +6 more
europepmc   +1 more source

GED‐CRN Breaks the Data Barrier: High‐Fidelity Electron Density Prediction Using Only 19 Training Molecules

open access: yesAggregate, EarlyView.
GED‐CRN: A Machine Learning Framework for Predicting Electron Density Distributions from Molecular Geometries via a Cube‐Sampling Approach. ABSTRACT We present GED‐CRN, a 3D convolutional residual network that achieves quantum‐chemical accuracy (MAE =7.6×10−4$= 7.6 \times 10^{-4}$ bohr−3${\rm bohr}^{-3}$) in predicting electron densities for AIE‐active
Junyi Gong   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy